Artificial Intelligence for Insurance Fraud Detection

Artificial Intelligence for Insurance Fraud Detection

Shravan Kumar Joginipalli

54,57 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
ISBN:
9786208430832
54,57 €
IVA incluido
Disponible

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Sobre IBD

Artificial Intelligence for Insurance Fraud Detection: Predictive Models and Risk Analysis explores the transformative role of AI in combating insurance fraud. Covering key topics such as risk management, data privacy, and compliance, the book provides an in-depth analysis of machine learning, deep learning, and anomaly detection techniques for fraud identification. It delves into ensemble and hybrid models, NLP for textual fraud detection, and Explainable AI (XAI) for transparent decision-making. Blockchain and smart contracts are also discussed as innovative fraud prevention tools. With real-world case studies and emerging trends, this book serves as a comprehensive guide for insurance professionals, data scientists, and AI researchers aiming to enhance fraud detection with cutting-edge technologies.

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